jack: Jackknife Estimates of Indirect Effect for a Simple Mediation...

In jeksterslabds/jeksterslabRmedsimple: Jekster's Lab Simple Mediation Model Utilities

Description

Jackknife Estimates of Indirect Effect for a Simple Mediation Model

Usage

jack(
  data,
  std = FALSE,
  complete = TRUE,
  par = TRUE,
  ncores = NULL,
  blas_threads = TRUE,
  mc = TRUE,
  lb = FALSE
)

Arguments

data	n by 3 matrix or data frame. data[, 1] correspond to values for x. data[, 2] correspond to values for m. data[, 3] correspond to values for y.
std	Logical. Standardize the indirect effect \hat{α}^{\prime} \hat{β}^{\prime} = \hat{α} \hat{β} \frac{\hat{σ}_x}{\hat{σ}_y}.
complete	Logical. If TRUE, create complete data set before bootstrapping. If 'FALSE'' bootstrap incomplete data set and fit the model with FIML.
par	Logical. If TRUE, use multiple cores. If FALSE, use lapply().
ncores	Integer. Number of cores to use if par = TRUE. If unspecified, defaults to detectCores() - 1.
blas_threads	Logical. If TRUE, set BLAS threads using blas_set_num_threads(threads = blas_get_num_procs()). If FALSE, set BLAS threads using blas_set_num_threads(threads = 1). If par = TRUE, blas_threads is automatically set to FALSE to prevent conflicts in parallel processing. This argument is useful when FUN can handle implicit parallelism when par = FALSE, for example linear algebra operations.
mc	Logical. If TRUE, use parallel::mclapply(). If FALSE, use parallel::parLapply() or parallel::parLapplyLB(). Ignored if par = FALSE.
lb	Logical. If TRUE use parallel::parLapplyLB(). If FALSE, use parallel::parLapply(). Ignored if par = FALSE and mc = TRUE.

Author(s)

Ivan Jacob Agaloos Pesigan

See Also

Other jackknife functions: beta_jack_simulation(), beta_jack_task(), beta_jack(), exp_jack_simulation(), exp_jack_task(), exp_jack(), mvn_jack_simulation(), mvn_jack_task(), mvn_jack(), mvn_std_jack_simulation(), mvn_std_jack_task(), mvn_std_jack(), vm_mod_jack_simulation(), vm_mod_jack_task(), vm_mod_jack(), vm_mod_std_jack_simulation(), vm_mod_std_jack_task(), vm_mod_std_jack(), vm_sev_jack_simulation(), vm_sev_jack_task(), vm_sev_jack(), vm_sev_std_jack_simulation(), vm_sev_std_jack_task(), vm_sev_std_jack()

Examples

data <- jeksterslabRdatarepo::thirst
jack(data, par = FALSE)
jack(data, std = TRUE, par = FALSE)

jeksterslabds/jeksterslabRmedsimple documentation built on Oct. 16, 2020, 11:30 a.m.